Information retrieval: techniques ; Machine learning: problems AND Retriever-Reader
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9 Documents
LlamaIndex sur X : "Save Memory (and Money) in RAG pipeline with @Cohere 's Int8 and Binary Embeddings..."
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2024-03-30 About
LlamaIndex 🦙 sur X : "An emerging technique to better represent your data for RAG/LLM applications is to only chunk the data, but also hierarchically cluster and index it..."
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2024-03-30 About
Nils Reimers sur X : "Embeddings can store only 1 aspect/topic per embedding well."
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2024-03-13 About
Ravi Theja sur X : "𝐀𝐜𝐭𝐢𝐯𝐞𝐑𝐀𝐆: 𝐑𝐞𝐯𝐞𝐚𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐓𝐫𝐞𝐚𝐬𝐮𝐫𝐞𝐬 𝐨𝐟 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐯𝐢𝐚 𝐀𝐜𝐭𝐢𝐯𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠..."
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2024-02-25 About
Fine-Tuning Your Embedding Model to Maximize Relevance Retrieval in RAG Pipeline | by Wenqi Glantz | Sep, 2023 | Better Programming
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2023-09-13 About
Jerry Liu sur X : "how do you get a good retrieval dataset w/o spending a ton of money on human labels? Answer: use LLMs"
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2023-08-30 About
Jerry Liu sur X : "One major way to improve your RAG system is to fine-tune your embedding model"
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2023-08-25 About
[2207.06300] Re2G: Retrieve, Rerank, Generate
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2022-07-14 About
[2108.13934] Robust Retrieval Augmented Generation for Zero-shot Slot Filling
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2022-01-19 About